summary_maihda: Summarize MAIHDA Model

In MAIHDA: Multilevel Analysis of Individual Heterogeneity and Discriminatory Accuracy

Summarize MAIHDA Model

Description

Provides a summary of a MAIHDA model including variance partition coefficients (VPC/ICC) and stratum-specific estimates.

Usage

summary_maihda(
  object,
  bootstrap = FALSE,
  n_boot = 1000,
  conf_level = 0.95,
  ...
)

Arguments

object	A maihda_model object from fit_maihda().
bootstrap	Logical indicating whether to compute bootstrap confidence intervals for VPC/ICC. Default is FALSE.
n_boot	Number of bootstrap samples if bootstrap = TRUE. Default is 1000.
conf_level	Confidence level for bootstrap intervals. Default is 0.95.
...	Additional arguments (not currently used).

Value

A maihda_summary object containing:

vpc	Variance Partition Coefficient (ICC) with optional CI
variance_components	Data frame of variance components
stratum_estimates	Data frame of stratum-specific random effects with labels if available
fixed_effects	Fixed effects estimates
model_summary	Original model summary

Examples

strata_result <- make_strata(maihda_sim_data, vars = c("gender", "race"))
model <- fit_maihda(health_outcome ~ age + (1 | stratum), data = strata_result$data)
summary_result <- summary_maihda(model)

# With bootstrap CI
# summary_boot <- summary_maihda(model, bootstrap = TRUE, n_boot = 50)

MAIHDA documentation built on April 5, 2026, 5:06 p.m.